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The following JuPyter Notebook contains code that reads from subsets of databases on Movies and their respective ratings by various users. The datasets were availed from Movielens Datasets. The notebook follows pandas all the way from basic functions like uploading tables and goes up to some complex concepts including Pivot Tables and Correlations. Some basic plots are also grazed over. The goal of the program within is to ask the user for a movie they like and provide them with 10(variable) movie suggestions to the user from the database based on their choice.
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My first data science project covering a few basics of pandas, numpy, pyplot, seaborn.
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